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Experimental investigation of aptamer-mycotoxin interaction on graphene field-effect transistor biosensor

Authors: Jarić, Stefan; Nekrasov, Nikita; Bobrinetskiy, Ivan;

Experimental investigation of aptamer-mycotoxin interaction on graphene field-effect transistor biosensor

Abstract

A specific graphene field-effect transistor (GFET)-based aptasensor was developed for the detection of highly toxic Ochratoxin A (OTA), which relies on an array of GFETs integrated on a single silicon chip. We experimentally studied the aptamer reconfiguration process during binding a specific target molecule, i.e. OTA, the interaction of an aptamer with graphene, and how the variation of ionic strength of a solution influences the sensitivity of our biosensor. We suggest that aptamer, when free-standing, is weakly adsorbed on graphene’s surface via π-π stacking, which is experimentally confirmed by a left-shift of charge neutrality point in transfer characteristic of GFET (n-doping) compared to PBASE-modified graphene. On the other hand, when the aptamer binds the OTA molecule, it undergoes 3D reconfiguration into G-quadruplex and desorbs from the graphene surface, which initiates the right-shift of charge neutrality point (p-doping). Finally, we showed that, by decreasing ionic strength 10 times, the sensitivity can be improved due to increased electrostatic gating from aptamer G-quadruplex structure, which confirms the idea of aptamer desorption from the graphene surface upon OTA binding.

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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